Benchmarking Multimodal Large Language Models for Face Recognition
Multimodal large language models (MLLMs) have achieved remarkable performance across diverse vision-and-language tasks. However, their potential in face recognition remains …
Benchmarking Multimodal Large Language Models for Face Recognition
Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems that determine whether two face images are of the same person. Unlike dedicated …
Foundation Models and Biometrics: A Survey and Outlook
This paper provides an overview of the recent advancements in foundation models and discusses potential applications of these models in the field of biometrics. Foundation models, …
Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot In-Context Learning
This study highlights the potential of ChatGPT (specifically GPT-4o) as a competitive alternative for Face Presentation Attack Detection (PAD), outperforming several PAD models, …